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Cholesky decomposition
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#	Item
71	Covariance regularization by thresholding Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2009-03-21 03:07:14 Matrices Covariance and correlation Summary statistics Numerical linear algebra Algebra of random variables Covariance Estimation of covariance matrices Matrix norm Cholesky decomposition Statistics Algebra Mathematics
72	Foreign Entanglements: Estimating the Source and Size of Spillovers Across Industrial Countries; Tamim Bayoumi and Andrew Swiston; IMF Working Paper[removed]; July 1, 2007 Add to Reading List Source URL: www.imf.org Language: English - Date: 2007-07-23 13:31:01 Time series analysis Vector autoregression Numerical linear algebra Variance decomposition Variance Shock Gross domestic product Cholesky decomposition Covariance matrix Statistics Econometrics Data analysis
73	Matrix Updates for Perceptron Training of Continuous Density Hidden Markov Models Chih-Chieh Cheng Department of Computer Science and Engineering, University of California, San Diego Fei Sha Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:00 Artificial intelligence Neural networks Perceptron Expectation–maximization algorithm Hidden Markov model Speech recognition Cholesky decomposition Part-of-speech tagging Statistical classification Statistics Machine learning Markov models
74	Matrix LET Subcommands CHOLESKY DECOMPOSITION CHOLESKY DECOMPOSITION PURPOSE Add to Reading List Source URL: www.itl.nist.gov Language: English - Date: 2013-11-27 15:34:14 Matrices Numerical linear algebra Matrix theory Data analysis Cholesky decomposition Symmetric matrix Matrix Singular value decomposition Positive-definite matrix Algebra Linear algebra Mathematics
75	Fast and Elegant Numerical Linear Algebra Using the RcppEigen Package Douglas Bates Dirk Eddelbuettel Add to Reading List Source URL: dirk.eddelbuettel.com Language: English - Date: 2012-08-14 19:49:34 Matrix theory Numerical linear algebra Matrices Sparse matrices Symmetric matrix Matrix decomposition Cholesky decomposition Matrix Triangular matrix Algebra Linear algebra Mathematics
76	RcppArmadillo: Accelerating R with High-Performance C++ Linear Algebra Dirk Eddelbuettela,∗, Conrad Sandersonb,c a Debian Project, http: // www. debian. org Add to Reading List Source URL: dirk.eddelbuettel.com Language: English - Date: 2013-02-03 22:56:24 Numerical linear algebra Matrix theory Singular value decomposition Covariance and correlation Kalman filter Covariance Matrix Cholesky decomposition Array programming Algebra Linear algebra Mathematics
77	IEEE TRANSACTIONS ON ROBOTICS, MANUSCRIPT SEPTEMBER 7, [removed]iSAM: Incremental Smoothing and Mapping Michael Kaess, Student Member, IEEE, Ananth Ranganathan, Student Member, IEEE, Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-03-26 23:44:11 Numerical linear algebra Matrices Covariance and correlation Matrix theory Kalman filter Cholesky decomposition QR decomposition Linear least squares Matrix Algebra Linear algebra Mathematics
78	DAO Oce Note[removed]Oce Note Series on Global Modeling and Data Assimilation Richard B. Rood, Head Data Assimilation Oce Add to Reading List Source URL: gmao.gsfc.nasa.gov Language: English - Date: 2005-07-13 12:30:37 Estimation theory Control theory Data assimilation Statistical forecasting Weather prediction Cholesky decomposition Iterative method Covariance Matrix Statistics Mathematics Bayesian statistics
79	Covariance Recovery from a Square Root Information Matrix for Data Association Michael Kaess CSAIL, Massachusetts Institute of Technology, 32 Vassar St., Cambridge, MA[removed]Frank Dellaert College of Computing, Georgia I Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-03-26 23:43:16 Robot control Summary statistics Linear filters Kalman filter Covariance matrix Covariance Cholesky decomposition Normal distribution Variance Statistics Data analysis Covariance and correlation
80	What to Do When Your Hessian Is Not Invertible Alternatives to Model Respecification in Nonlinear Estimation JEFF GILL University of California, Davis Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2013-02-04 23:42:24 Normal distribution Maximum likelihood Matrix Multivariate normal distribution Cholesky decomposition Point estimation Prior probability Likelihood function Estimator Statistics Estimation theory Variance